000126303 001__ 126303
000126303 005__ 20241125101152.0
000126303 0247_ $$2doi$$a10.1109/ACCESS.2023.3253772
000126303 0248_ $$2sideral$$a133716
000126303 037__ $$aART-2023-133716
000126303 041__ $$aeng
000126303 100__ $$aGranado Fornás, Javier
000126303 245__ $$aModeling and simulation of time domain reflectometry signals on a real network for use in fault classification and location
000126303 260__ $$c2023
000126303 5060_ $$aAccess copy available to the general public$$fUnrestricted
000126303 5203_ $$aToday, the classification and location of faults in electrical networks remains a topic of great interest. Faults are a major issue, mainly due to the time spent to detect, locate, and repair the cause of the fault. To reduce time and associated costs, automatic fault classification and location is gaining great interest. State-of-the-art techniques to classify and locate faults are mainly based on line-impedance measurements or the detection of the traveling wave produced by the event caused by the fault itself. In contrast, this paper describes the methodology for creating a database and a model for a complex distribution network. Both objectives are covered under the paradigm of the time-domain pulse reflectometry (TDR) principle. By using this technique, large distances can be monitored on a line with a single device. Thus, in this way a database is shared and created from the results of simulations of a real and complex distribution network modeled in the PSCADTM software, which have been validated with measurements from an experimental test setup. Experimental validations have shown that the combination of the TDR technique with the modeling of a real network (including the real injector and the network coupling filter from the prototype) provides high-quality signals that are very similar and reliable to the real ones. In this sense, it is intended firstly that this model and its corresponding data will serve as a basis for further processing by any of the existing state-of-the-art techniques. And secondly, to become a valid alternative to the already well-known Test Feeders but adapted to work groups not used to the electrical world but to the environment of pure data processing.
000126303 536__ $$9info:eu-repo/grantAgreement/EUR/FILE/PIEF-GA-2009-253780
000126303 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000126303 590__ $$a3.4$$b2023
000126303 592__ $$a0.96$$b2023
000126303 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b87 / 250 = 0.348$$c2023$$dQ2$$eT2
000126303 591__ $$aTELECOMMUNICATIONS$$b47 / 119 = 0.395$$c2023$$dQ2$$eT2
000126303 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b122 / 353 = 0.346$$c2023$$dQ2$$eT2
000126303 593__ $$aEngineering (miscellaneous)$$c2023$$dQ1
000126303 593__ $$aMaterials Science (miscellaneous)$$c2023$$dQ1
000126303 593__ $$aComputer Science (miscellaneous)$$c2023$$dQ1
000126303 594__ $$a9.8$$b2023
000126303 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000126303 700__ $$0(orcid)0000-0002-9582-8964$$aHerrero Jaraba, Elías$$uUniversidad de Zaragoza
000126303 700__ $$0(orcid)0000-0002-3441-7133$$aBludszuweit, Hans
000126303 700__ $$aCervero García, David
000126303 700__ $$0(orcid)0000-0001-6350-4474$$aLlombart Estopiñan, Andrés
000126303 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica
000126303 773__ $$g11 (2023), 23596-23619$$pIEEE Access$$tIEEE Access$$x2169-3536
000126303 8564_ $$s2811155$$uhttps://zaguan.unizar.es/record/126303/files/texto_completo.pdf$$yVersión publicada
000126303 8564_ $$s2575436$$uhttps://zaguan.unizar.es/record/126303/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000126303 909CO $$ooai:zaguan.unizar.es:126303$$particulos$$pdriver
000126303 951__ $$a2024-11-22-12:07:33
000126303 980__ $$aARTICLE